🎓How I Study AIHISA
📖Read
📄Papers📰Blogs🎬Courses
💡Learn
🛤️Paths📚Topics💡Concepts🎴Shorts
🎯Practice
🧩Problems🎯Prompts🧠Review
Search
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers4

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#Perplexity

Post-LayerNorm Is Back: Stable, ExpressivE, and Deep

Intermediate
Chen Chen, Lai WeiJan 27arXiv

Big AI models used to get better by getting wider or reading longer texts, but those tricks are slowing down.

#Keel#Post-LayerNorm#Pre-LayerNorm

Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection

Intermediate
Quy-Anh Dang, Chris NgoJan 27arXiv

Selective Steering is a new way to gently nudge a language model’s inner thoughts without breaking its flow or skills.

#Selective Steering#Activation Steering#Angular Steering

Mecellem Models: Turkish Models Trained from Scratch and Continually Pre-trained for the Legal Domain

Intermediate
Özgür Uğur, Mahmut Göksu et al.Jan 22arXiv

The paper builds special Turkish legal AI models called Mecellem by teaching them from the ground up and then giving them more law-focused lessons.

#Turkish legal NLP#ModernBERT#Continual pre-training

Deep Delta Learning

Intermediate
Yifan Zhang, Yifeng Liu et al.Jan 1arXiv

Deep Delta Learning (DDL) replaces the usual “add the shortcut” rule in deep networks with a smarter, learnable move that can gently erase old info and write new info along a chosen direction.

#Deep Delta Learning#Delta Operator#Residual connection